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First 1912 results for ” M Schoeberl”

1. Exploring the efficiency of bias corrections of regional climate model output for the assessment of future crop yields in Europe

   Excessive summer drying and reduced growing season length are expected to reduce European crop yi...

   AMR Bakker, JJE Bessembinder, AJW de Wit, BJJM van den Hurk, SB Hoek | Status: published | Journal: Regional and Environmental Change | Volume: 14 | Year: 2014 | First page: 865 | Last page: 877 | doi: doi: 10.1007/s10113-013-0557-9

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2. Science Goals of EOS-Aura\'s Ozone Monitoring Instrument (OMI)
   PF Levelt, GHJ van den Oord, R Noordhoek, E Hilsenrath, PK Bhartia, GW Leppelmeier, A Mälkki | Conference: XX Quadrennial Ozone Symposium | Organisation: University of Athens | Place: Athens | Year: 2004 | First page: 393 | Last page: 394

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3. Modeled Influence of Land Ice and CO2 on Polar Amplification and Paleoclimate Sensitivity During the Past 5 Million Years

   Polar amplification and paleoclimate sensitivity (S) have been the subject of many paleoclimate s...

   LB Stap, RSW van de Wal, B de Boer, P Kohler, JH Hoencamp, G Lohmann, E Tuenter, LJ Lourens | Status: published | Journal: Paleoceanography | Volume: 33 | Year: 2018 | First page: 381 | Last page: 394 | doi: 10.1002/2017PA003313

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4. Higher-order calibration on WindRAD (Wind Radar) scatterometer winds

   WindRAD (Wind Radar) is a dual-frequency rotating fan-beam scatterometer instrument on the FY-3E ...

   Zhen Li, Ad Stoffelen, Anton Verhoef, Zhixiong Wang, Jian Shang, Honggang Yin | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 4769 | Last page: 4783 | doi: https://doi.org/10.5194/amt-16-4769-2023

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5. SST Dependence of Ku- and C-Band Backscatter Measurements

   The normalized radar cross section (NRCS) measured by satellite ocean radar systems is representa...

   Zhixiong Wang, Ad Stoffelen, Franco Fois, Anton Verhoef, Chaofang Zhao, Mingsen Lin, Ge Chen | Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Volume: 10 | Year: 2017 | doi: https://doi.org/10.1109/JSTARS.2016.2600749

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